Information Theory And Statistics (Dover Books On Mathematics),New
$19.22
Title
Information Theory And Statistics (Dover Books On Mathematics),New
Quantity
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
All returns require a Return Authorization (RA) number before sending.
View Full Return & Refund Policy
Payment Option
Highly Useful Text Studies Logarithmic Measures Of Information And Their Application To Testing Statistical Hypotheses. Includes Numerous Worked Examples And Problems. References. Glossary. Appendix.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does the book have? A: The book contains four hundred thirty-two pages. This length allows for a comprehensive exploration of information theory and statistics.
- Q: What are the dimensions of the book? A: The book measures five point six four inches in length, zero point eight seven inches in width, and eight point two seven inches in height. These dimensions make it portable and easy to handle.
- Q: What type of binding does the book have? A: The book features a paperback binding. This makes it lightweight and flexible, ideal for reading on the go.
- Q: Who is the author of the book? A: The author is Solomon Kullback. He is well-known for his contributions to the fields of information theory and statistics.
- Q: What is the main topic of the book? A: The book covers information theory and its statistical applications. It is designed for those interested in understanding logarithmic measures of information.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It includes numerous worked examples and problems to facilitate understanding.
- Q: Can I use this book for academic purposes? A: Yes, this book is appropriate for academic use. It provides foundational knowledge in information theory and statistics, making it a valuable resource.
- Q: Does the book include practical examples? A: Yes, it includes numerous worked examples. These examples help illustrate complex concepts in a practical context.
- Q: Is there a glossary included in the book? A: Yes, the book includes a glossary. This feature helps clarify key terms and concepts in information theory.
- Q: Does the book contain references for further reading? A: Yes, it includes references. This allows readers to explore topics in greater depth.
- Q: How should I store this book to keep it in good condition? A: Store the book in a dry, cool place away from direct sunlight. This helps prevent fading and damage over time.
- Q: Can I clean the book if it gets dirty? A: Yes, you can clean the book gently. Use a soft, dry cloth to wipe the cover and avoid using liquids.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact customer support immediately. They will guide you through the return or replacement process.
- Q: Does the book have a warranty? A: No, this book does not come with a warranty. However, you can check the return policy for any issues.
- Q: Is this book appropriate for children? A: No, this book is not specifically designed for children. It is aimed at readers interested in higher-level mathematical concepts.
- Q: What is the intended audience for this book? A: The intended audience includes students, educators, and professionals in statistics and information theory. It's suitable for anyone seeking a deeper understanding of the subject.